投资于农业对中欧、东欧和东南欧国家的影响,特别强调塞尔维亚共和国

Ljubomir Obradović, Božidar Gojković
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引用次数: 0

摘要

本文从宏观层面考察了农业投资的作用,对13个国家进行了10年的观察。研究的国家包括中欧和东南欧国家。农业投资的重要性体现在它们对农业产量增加的直接影响上,即通过农业总增加值的增加。本研究的主要目的是确定,使用SPSS程序,哪些自变量影响农业总增加值。换句话说,它旨在选择变量来开发和评估将显示与农业总增加值显著关系的模型。由于研究课题的性质,本文采用了依赖技术,即多元回归分析,确定了所选变量与农业产量增长的相关程度。在定性方法上,采用统计方法对结果进行收集、处理和呈现,采用比较法对收集到的数据进行比较,得出一定的结论。研究结果表明,投资对农业总增加值的实现起着重要作用,这意味着投资在很大程度上决定了农业部门的经济增长。通过应用适当的模型,还确定了农业总增加值的变化在多大程度上可以用农业总投资的变化来解释。通过发展所得模型,得出结论,除了其他纳入变量外,投资对农业总增加值的影响最为显著。更具体地说,最重要的投资是那些直接影响农业和研发投资的投资。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of investing in agriculture in the countries of Central-Eastern and Southeast Europe with a special emphasis on the Republic of Serbia
The paper considers the role of investments in agriculture at the macro level, observing 13 countries over ten years. The countries included in the research are the Central-Eastern and South-East European countries. The importance of investments in agriculture is seen through their direct impact on the increase in production in agriculture, i.e., through the increase in gross added value in agriculture. The primary objective of this research is to determine, using the SPSS program, which independent variables affect the gross added value in agriculture. In other words, it aims to select variables for developing and evaluating the model that will show a significant relationship with the gross added value in agriculture. Due to the nature of the research subject, the dependency technique was applied in the paper, specifically, multiple regression analysis, which determined the correlation level of the selected variables with the increase in agricultural production. As for the qualitative methods, the statistical method was used to collect, process and present the results, while the comparative method was used to compare the collected data and draw certain conclusions. The research results indicate that investments play a significant role in achieving gross added value in agriculture, which means that investments largely determine economic growth in the agricultural sector. By applying the appropriate model, it was also determined to what extent variations in gross value added in agriculture can be explained by variations in total agricultural investments. By developing the obtained model, it was concluded that, in addition to other included variables, investments have the most significant impact on the gross added value in agriculture. More specifically, the most important investments are the ones that directly affect agriculture and investments in research and development.
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